Arrrgh .. I am very sorry that I found this problem late. RC 5 does not have the correct version of PySpark, see https://github.com/apache/spark/blob/v3.3.0-rc5/python/pyspark/version.py#L19 I think the release script was broken because the version now has 'str' type, see https://github.com/apache/spark/blob/v3.3.0-rc5/dev/create-release/release-tag.sh#L88 I filed a JIRA at https://issues.apache.org/jira/browse/SPARK-39411
-1 from me On Wed, 8 Jun 2022 at 13:16, Cheng Pan <pan3...@gmail.com> wrote: > +1 (non-binding) > > * Verified SPARK-39313 has been address[1] > * Passed integration test w/ Apache Kyuubi (Incubating)[2] > > [1] https://github.com/housepower/spark-clickhouse-connector/pull/123 > [2] https://github.com/apache/incubator-kyuubi/pull/2817 > > Thanks, > Cheng Pan > > On Wed, Jun 8, 2022 at 7:04 AM Chris Nauroth <cnaur...@apache.org> wrote: > > > > +1 (non-binding) > > > > * Verified all checksums. > > * Verified all signatures. > > * Built from source, with multiple profiles, to full success, for Java > 11 and Scala 2.13: > > * build/mvn -Phadoop-3 -Phadoop-cloud -Phive-thriftserver > -Pkubernetes -Pscala-2.13 -Psparkr -Pyarn -DskipTests clean package > > * Tests passed. > > * Ran several examples successfully: > > * bin/spark-submit --class org.apache.spark.examples.SparkPi > examples/jars/spark-examples_2.12-3.3.0.jar > > * bin/spark-submit --class > org.apache.spark.examples.sql.hive.SparkHiveExample > examples/jars/spark-examples_2.12-3.3.0.jar > > * bin/spark-submit > examples/src/main/python/streaming/network_wordcount.py localhost 9999 > > * Tested some of the issues that blocked prior release candidates: > > * bin/spark-sql -e 'SELECT (SELECT IF(x, 1, 0)) AS a FROM (SELECT > true) t(x) UNION SELECT 1 AS a;' > > * bin/spark-sql -e "select date '2018-11-17' > 1" > > * SPARK-39293 ArrayAggregate fix > > > > Chris Nauroth > > > > > > On Tue, Jun 7, 2022 at 1:30 PM Cheng Su <chen...@fb.com.invalid> wrote: > >> > >> +1 (non-binding). Built and ran some internal test for Spark SQL. > >> > >> > >> > >> Thanks, > >> > >> Cheng Su > >> > >> > >> > >> From: L. C. Hsieh <vii...@gmail.com> > >> Date: Tuesday, June 7, 2022 at 1:23 PM > >> To: dev <dev@spark.apache.org> > >> Subject: Re: [VOTE] Release Spark 3.3.0 (RC5) > >> > >> +1 > >> > >> Liang-Chi > >> > >> On Tue, Jun 7, 2022 at 1:03 PM Gengliang Wang <ltn...@gmail.com> wrote: > >> > > >> > +1 (non-binding) > >> > > >> > Gengliang > >> > > >> > On Tue, Jun 7, 2022 at 12:24 PM Thomas Graves <tgraves...@gmail.com> > wrote: > >> >> > >> >> +1 > >> >> > >> >> Tom Graves > >> >> > >> >> On Sat, Jun 4, 2022 at 9:50 AM Maxim Gekk > >> >> <maxim.g...@databricks.com.invalid> wrote: > >> >> > > >> >> > Please vote on releasing the following candidate as Apache Spark > version 3.3.0. > >> >> > > >> >> > The vote is open until 11:59pm Pacific time June 8th and passes if > a majority +1 PMC votes are cast, with a minimum of 3 +1 votes. > >> >> > > >> >> > [ ] +1 Release this package as Apache Spark 3.3.0 > >> >> > [ ] -1 Do not release this package because ... > >> >> > > >> >> > To learn more about Apache Spark, please see > http://spark.apache.org/ > >> >> > > >> >> > The tag to be voted on is v3.3.0-rc5 (commit > 7cf29705272ab8e8c70e8885a3664ad8ae3cd5e9): > >> >> > https://github.com/apache/spark/tree/v3.3.0-rc5 > >> >> > > >> >> > The release files, including signatures, digests, etc. can be > found at: > >> >> > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc5-bin/ > >> >> > > >> >> > Signatures used for Spark RCs can be found in this file: > >> >> > https://dist.apache.org/repos/dist/dev/spark/KEYS > >> >> > > >> >> > The staging repository for this release can be found at: > >> >> > > https://repository.apache.org/content/repositories/orgapachespark-1406 > >> >> > > >> >> > The documentation corresponding to this release can be found at: > >> >> > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc5-docs/ > >> >> > > >> >> > The list of bug fixes going into 3.3.0 can be found at the > following URL: > >> >> > https://issues.apache.org/jira/projects/SPARK/versions/12350369 > >> >> > > >> >> > This release is using the release script of the tag v3.3.0-rc5. > >> >> > > >> >> > > >> >> > FAQ > >> >> > > >> >> > ========================= > >> >> > How can I help test this release? > >> >> > ========================= > >> >> > If you are a Spark user, you can help us test this release by > taking > >> >> > an existing Spark workload and running on this release candidate, > then > >> >> > reporting any regressions. > >> >> > > >> >> > If you're working in PySpark you can set up a virtual env and > install > >> >> > the current RC and see if anything important breaks, in the > Java/Scala > >> >> > you can add the staging repository to your projects resolvers and > test > >> >> > with the RC (make sure to clean up the artifact cache before/after > so > >> >> > you don't end up building with a out of date RC going forward). > >> >> > > >> >> > =========================================== > >> >> > What should happen to JIRA tickets still targeting 3.3.0? > >> >> > =========================================== > >> >> > The current list of open tickets targeted at 3.3.0 can be found at: > >> >> > https://issues.apache.org/jira/projects/SPARK and search for > "Target Version/s" = 3.3.0 > >> >> > > >> >> > Committers should look at those and triage. Extremely important bug > >> >> > fixes, documentation, and API tweaks that impact compatibility > should > >> >> > be worked on immediately. Everything else please retarget to an > >> >> > appropriate release. > >> >> > > >> >> > ================== > >> >> > But my bug isn't fixed? > >> >> > ================== > >> >> > In order to make timely releases, we will typically not hold the > >> >> > release unless the bug in question is a regression from the > previous > >> >> > release. That being said, if there is something which is a > regression > >> >> > that has not been correctly targeted please ping me or a committer > to > >> >> > help target the issue. > >> >> > > >> >> > Maxim Gekk > >> >> > > >> >> > Software Engineer > >> >> > > >> >> > Databricks, Inc. > >> >> > >> >> --------------------------------------------------------------------- > >> >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >> >> > >> > >> --------------------------------------------------------------------- > >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >